The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Robust Control for Static Loading of Electro-hydraulic Load Simulator with Friction Compensation
Open accessAbstract
Load simulator is a key test equipment for aircraft actuation systems in hardware-in-the-loop-simulation. Static loading is an essential function of the load simulator and widely used in the static/dynamic stiffness test of aircraft actuation systems. The tracking performance of the static loading is studied in this paper. Firstly, the nonlinear mathematical models of the hydraulic load simulator are derived, and the feedback linearization method is employed to construct a feed-forward controller to improve the force tracking performance. Considering the effect of the friction, a LuGre model based friction compensation is synthesized, in which the unmeasurable state is estimated by a dual state observer via a controlled learning mechanism to guarantee that the estimation is bounded. The modeling errors are attenuated by a well-designed robust controller with a control accuracy measured by a design parameter. Employing the dual state observer is to capture the different effects of the unmeasured state and hence can improve the friction compensation accuracy. The tracking performance is summarized by a derived theorem. Experimental results are also obtained to verify the high performance nature of the proposed control strategy.
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Robust control tends to rely on increased feedback gains to suppress disturbances, which may excite unmodeled high-frequency dynamics.
“Similarly, robust control tends to rely on increased feedback gains to suppress disturbances, which may excite unmodeled high-frequency dynamics.”
From Predefined-Time Tracking Control of Servo Hydraulic Cylinder Based on Reinforcement Learning (2025) · cites this paper as [8]
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Cites
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Flagged first, then by citations
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Cited by
Sorted by citations
RISE-Based Adaptive Control of Hydraulic Systems With Asymptotic Tracking
Yao, J., Deng, W., & Jiao, Z. (2017) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2015.2434393 · Cited by 200
Self-citationBAI, Y., YAO, J., HU, J., & FENG, G. (2025) · Chinese Journal of Aeronautics · doi:10.1016/j.cja.2024.07.041 · Cited by 11
Self-citationPredefined-Time Tracking Control of Servo Hydraulic Cylinder Based on Reinforcement Learning
Han, T., Nie, X., Que, N., Lu, J., Yao, J., & Yu, X. (2025) · Actuators · doi:10.3390/act15010009 · Cited by 1
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Metadata
- Authors
- YAO, J., JIAO, Z., & YAO, B.
- Affiliations
- Nanjing University of Science and Technology (CN)
- Beihang University (CN)
- Purdue University West Lafayette (US)
- Corresponding author
- JIAO, Zongxia
- Venue
- Chinese Journal of Aeronautics
- Publisher
- Elsevier BV
- Published
- 2012-12
- Volume
- 25
- Issue
- 6
- Pages
- 954-962
- ISSN
- 1000-9361 (ISSN-L)
- OpenAlex
- W2041400405
- Cited by
- 89
- References
- 26
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 4 · 2023: 5 · 2022: 5 · 2021: 7 · 2020: 4 · 2019: 5 · 2018: 2 · 2017: 6 · 2016: 11 · 2015: 10 · 2014: 14 · 2013: 4
- FWCI
- 13.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Chinese Journal of Aeronautics (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Hydraulic and Pneumatic Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Dynamics and Control of Mechanical Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
- Keywords
- static loading, friction compensation, LuGre friction model, robust control, feedback linearization, feedforward control, hardware-in-the-loop, force tracking
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